Developer Programs
Elevate your AI, rendering, and simulations with Blendr
For AI, rendering, and simulations, Blendr offers
high-performance computing sans centralized costs and
scalability limits. Optimize resource usage, minimize expenses,
and maintain uninterrupted productivity.
Learn More
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BCM
Decentralized GPU
Compute Mesh (BCM)Blendr's BCM effectively aggregates underutilized GPU resources across a global network. This network optimally distributes computational tasks, ensuring each GPU's capacity is utilized efficiently, thereby providing a scalable solution for demanding rendering tasks and Al computations without the overhead associated with traditional cloud computing services. -
DARL
Blockchain-Enabled Digital Rights Management (DARL)
Blendr incorporates granular digital rights management through its DARL system. This leverages the immutability and transparency of blockchain to offer on-chain traceability for digital assets, ensuring creators maintain control over their work and receive fair compensation.
Coming Soon
Blendr
Box X1
A cutting-edge, plug-and-play solution that allows users to host a
$BLENDR node at home, enhancing the decentralized GPU network and
offering passive income opportunities. Compact and powerful, it's
your gateway to advanced rendering and AI computing.
Blendr Box X1 Specifications
- Equipped with RTX 4060* for optimized processing in complex tasks.
- M.2 SSD support ensures rapid data handling.
- Thunderbolt™ 4 for speedy transfers up to 40Gbps and connecting high-performance devices.
- TPM 2.0 for enhanced data security.
- Compliant with CE, FCC, KC, RoHS standards.
- Ultra-compact 3.5” form factor for space efficiency.
*Specifications, including the GPU, are based on our current
prototype and might change to optimize performance.
Join our GPU sharing network and earn $BLENDR tokens
for powering rendering and computational tasks
Learn more
MVP Development Roadmap
Establish a functional prototype that allows GPU owners to offer their computing power and users to execute tasks using available GPU resources.
Phase 1
Initial MVP Setup
Client-Side Python Program (CLI)
Purpose:
Enables GPU owners to register their devices with the central server and listen for incoming tasks.
Features:
- Detect local GPU resources.
- Establish WebSocket connections to the central server for real-time communication.
- Receive task details and execute tasks using the GPU.
Central Server
Technology:
Enables GPU owners to register their devices with the central server and listen for incoming tasks.
Features:
- Manage user registrations and authentications.
- Handle task dispatching and monitor GPU availability.
- Provide a WebSocket endpoint for client communications.
Web Dashboard
Purpose:
Allows users to view available GPU resources and submit tasks.
Features:
- Display overall GPU capacity or specific available GPUs (configurable based on feedback).
- User interface for submitting tasks and viewing task status.
Data Management with AWS S3
Implementation:
Utilize S3 for storing input datasets and processed results.
Features:
- Generate and manage S3 access keys to allow users direct access to upload and download data, reducing load on the central server.
Phase 2
Scale and Decentralize
Decentralized Storage System
Purpose:
Replace S3 with a decentralized storage solution to enhance privacy and reduce reliance on centralized services.
Plan:
- Research and integrate technologies like IPFS (InterPlanetary File System) or similar for storing and retrieving task data.
Token-Based Economy
Purpose:
Introduce a blockchain-based token system to reward users based on the GPU power they provide.
Implementation:
- Develop and deploy smart contracts on a blockchain platform.
- Implement a system for tracking resource usage and issuing tokens accordingly.
Phase 3
Advanced GPU Integration
Distributed GPU Processing
Goal:
Enable multiple GPUs to work together on complex tasks, enhancing processing capabilities and efficiency.
Challenges:
Address synchronization, data consistency, and network latency.
Approach:
Utilize advanced distributed computing frameworks and modify the client software to support distributed tasks.
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Engage , Innovate and Grow with us.
Engage , Innovate and Grow with us.
